Metadata-Version: 2.1
Name: flexpolyline
Version: 0.1.0
Summary: Flexible Polyline encoding: a lossy compressed representation of a list of coordinate pairs or triples
Home-page: https://here.com
Author: HERE Europe B.V.
License: MIT
Project-URL: Source, https://github.com/heremaps/flexible-polyline.git
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown

# FlexPolyline

This is a python implementation of the Flexible Polyline format.

The polyline encoding is a lossy compressed representation of a list of coordinate pairs or
coordinate triples. It achieves that by:

1. Reducing the decimal digits of each value.
2. Encoding only the offset from the previous point.
3. Using variable length for each coordinate delta.
4. Using 64 URL-safe characters to display the result.

## Install

```python
pip install flexpolyline
```

## Usage

### Encoding

#### `encode(iterable, precision=5, third_dim=ABSENT, third_dim_precision=0)`

Encodes a list (or iterator) of coordinates to the corresponding string representation. See the optional parameters below for further customization. Coordinate order is `(lat, lng[, third_dim])`.
```

**Optional parameters**

* `precision` - Defines how many decimal digits to round latitude and longitude to (ranges from `0` to `15`).
* `third_dim` - Defines the type of the third dimension when present. Possible values are defined in the module: `ALTITUDE`, `LEVEL`, `ELEVATION`, `CUSTOM1` and `CUSTOM2`. The last two values can be used in case your third dimension has a user defined meaning.
* `third_dim_precision` - Defines how many decimal digits to round the third dimension to (ranges from `0` to `15`). This parameter is ignored when `third_dim` is `ABSENT` (default).


#### `dict_encode(iterable, precision=5, third_dim=ABSENT, third_dim_precision=0)`

Similar to the `encode` function, but accepts a list (or iterator) of dictionaries instead. Required keys are `"lat"` and `"lng"`. If `third_dim` is set, the corresponding key is expected `"alt"`, `"elv"`, `"lvl"`, `"cst1"` or `"cst2"`. 


#### Examples

Following is a simple example encoding a 2D poyline with 5 decimal digits of precision:

```python
import flexpolyline as fp

example = [
    (50.1022829, 8.6982122),
    (50.1020076, 8.6956695),
    (50.1006313, 8.6914960),
    (50.0987800, 8.6875156),
]

print(fp.encode(example))
```

**Output**: `BFoz5xJ67i1B1B7PzIhaxL7Y`.

Another example for the 3D case with altitude as the third coordinate:

```python
example = [
    (50.1022829, 8.6982122, 10),
    (50.1020076, 8.6956695, 20),
    (50.1006313, 8.6914960, 30),
    (50.0987800, 8.6875156, 40),
]

print(fp.encode(example, third_dim=flexpolyline.ALTITUDE))
```

**Output**: `BlBoz5xJ67i1BU1B7PUzIhaUxL7YU`

### Decoding

#### `decode(encoded_string)`

Decodes the passed encoded string and returns a list of tuples `(lat, lng[, third_dim])`.

#### `iter_decode(encoded_string)`

Similar to `decode` but returns an iterator instead.

#### `dict_decode(encoded_string)`

Similar to `decode` but returns a list of dictionaries instead. The keys `"lat"` and `"lng"` are always present, while the third dimension key depends on the type of third dimension encoded. It can be one of the following: `"alt"`, `"elv"`, `"lvl"`, `"cst1"` or `"cst2"`.

#### `iter_dict_decode(encoded_string)`

Similar to `dict_decode` but returns an iterator instead.

#### `get_third_dimension(encoded_string)`

Returns the value corresponding to the third dimension encoded in the string. Possible values defined in the module are: `ABSENT`, `ALTITUDE`, `LEVEL`, `ELEVATION`, `CUSTOM1` and `CUSTOM2`

#### Examples

Example of decoding of a 2D polyline:

```python
import flexpolyline as fp

print(fp.decode("BFoz5xJ67i1B1B7PzIhaxL7Y"))
```

**Output**:

```
[
    (50.10228, 8.69821),
    (50.10201, 8.69567),
    (50.10063, 8.69150),
    (50.09878, 8.68752)
]
```


Example of decoding dicts from a 3D polyline:

```python
import flexpolyline as fp

print(fp.dict_decode("BlBoz5xJ67i1BU1B7PUzIhaUxL7YU"))
```

**Output**: 

```
[
    {'lat': 50.10228, 'lng': 8.69821, 'alt': 10},
    {'lat': 50.10201, 'lng': 8.69567, 'alt': 20},
    {'lat': 50.10063, 'lng': 8.69150, 'alt': 30},
    {'lat': 50.09878, 'lng': 8.68752, 'alt': 40}
]
```






